journal article·2024-04-01Open access

Construction of AgCl/Bi2WO6 heterojunction for effective removal of RhB dye

School of Mechanical Engineering, Chengdu University, Chengdu, 610106, China, Y. T. Zhang, D. Y. Wang, School of Mechanical Engineering, Chengdu University, Chengdu, 610106, China, X. Luo, School of Mechanical Engineering, Chengdu University, Chengdu, 610106, China, K. Lei, School of Mechanical Engineering, Chengdu University, Chengdu, 610106, China, L. J. Mao, School of Mechanical Engineering, Chengdu University, Chengdu, 610106, China, Y. J. Duan, School of Mechanical Engineering, Chengdu University, Chengdu, 610106, China, X. H. Zeng, School of Mechanical Engineering, Chengdu University, Chengdu, 610106, China, G. J. Wan, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu, 611756, China, Q. Zhao, School of Chemical Engineering, Sichuan University, Chengdu, 610065, China, Y. Sun, School of Mechanical Engineering, Chengdu University, Chengdu, 610106, China

Abstract

Flower-like Bi2WO6 microspheres were prepared by a facile hydrothermal method, and AgCl/Bi2WO6 heterojunction was successfully synthesized by in-situ precipitation method. The samples were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM) and UV-vis diffuse reflectance spectroscopy (DRS). The effect of AgCl loading in AgCl/Bi2WO6 composites on the degradation of Rhodamine B (RhB) was also investigated. When the mass ratio of AgCl to Bi2WO6 was 4:1, AgCl/Bi2WO6 composites exhibited the highest photocatalytic degradation efficiency of 87.9% within 30 min, which could be attributed to the construction of heterojunction structure that effectively promoted the separation of photogenerated electron-hole pairs.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · Advanced Photocatalysis Techniques · Metal-Organic Frameworks: Synthesis and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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